SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB 1313 is an interdisciplinary Collaborative Research Centre of the University of Stuttgart, consisting of four major project areas (A-D), divided in 17 individual research projects. It is funded by the German Research Foundation (DFG) and affiliated to the Cluster of Excellence "Data-integrated Simulation Science (SimTech)".

Interfaces have a great impact on multi-field processes (flow, transport and deformation) in porous-media systems. SFB 1313 aims to research these interfaces and to gain a fundamental understanding how they affect multi-field processes. An important step is therefore to quantify how the dynamics of fluid-fluid and fluid-solid interfaces in porous-media systems are affected by pore geometry, heterogeneity and fractures. Furthermore, developing experimental knowledge as well as mathematical and computational models will support SFB 1313‘s research.

A01: Molecular detail in ﬂuid simulations: Density Functional Theory within component and momentum balances

A02: Advanced modelling concepts for coupling free flow with porous-media flow

A03: Development of interface concepts using averaging techniques

A05: Pore scale formulations for evaporation, and upscaling to REV scale

B02: Fracturing porous solids with pore content

$B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media logo$ B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media

$B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation logo$ B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation

C01: A Lattice-Boltzmann investigation of two-phase electrolyte flow in porous structures with morphology alterations and tunable interfacial wetting behaviour

C02: Upscaling of pore-scale processes involving microstructural evolution

C03: Modelling of material injection processes into porous structures applied to vertebroplasty

C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media

C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media

D02: Parallel numerical coupling methods for interface problems

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31 to 40 of 2,994 Results

Da_carb_Experimental_Values.pdf May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Adobe PDF - 16.2 KB - MD5: eab647cd5da99f10053f5df8c762cfb2 PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 experimental cases, derived from time-series calcium concentration and pH data. Shown in figure 7 (a) in associated publication.
Da_carb_Grid_Convergent_Simulation_Values.pdf May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Adobe PDF - 16.2 KB - MD5: 0a6aa9c9bb4bfc1a4ae7f5ca0febcf8e PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the grid-convergent resolution, derived from integral quantities. Shown in figure 7 (b) in associated publication.
Da_carb_Initial_Grid_Simulation_Values.pdf May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Adobe PDF - 16.2 KB - MD5: 0311b84a9cc183ed7d9a2f17102a4acf PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the initial grid resolution, derived from integral quantities. Not shown in associated publication.
data_handling.py May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Python Source Code - 18.5 KB - MD5: 52f7e3e3d37273ff8f7deeb4dfebf033 Code Supporting Python module providing data loading, parsing, and preprocessing utilities used by the core analysis and plotting routines.
df_2mm_one_row_per_case.csv May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Tabular Data - 226 B - 7 Variables, 3 Observations - UNF:6:SvFYd283OQd8vGzw00G9FA== Theoretical mass transfer parameters for a 2 mm aperture fracture analog, computed by calculate_Sherwood_theory_numbers.py. This dataset contains Sherwood numbers (Sh), mass transfer coefficients (km), efficiency factors (η), and hydrodynamic entry lengths. Corresponds to the data presented in Table 4 of the associated publication.
df_6mm_one_row_per_case.csv May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Tabular Data - 454 B - 7 Variables, 6 Observations - UNF:6:taTliMwjG4YrkwQItcVUQw== Theoretical mass transfer parameters for a 6 mm aperture fracture analog, computed by calculate_Sherwood_theory_numbers.py. This dataset contains Sherwood numbers (Sh), mass transfer coefficients (km), efficiency factors (η), and hydrodynamic entry lengths. Corresponds to the data presented in Table 3 of the associated publication.
Experimental_Values.pdf May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Adobe PDF - 21.9 KB - MD5: 264df8ac77b66adda82df6eb5f1ac775 PDF figure generated by `plot.py time` showing the time-series evolution of calcium concentration and pH for all 12 experimental cases. Shown in figure 4 (a) in associated publication
FTBExperimental--dw__a2mm_t15min_pC0.5_T21__experiment.csv May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Tabular Data - 430 B - 3 Variables, 27 Observations - UNF:6:nTKXijomPvc4hDGV6phsYg== DataTime Series Experimental time-series data for the a2mm aperture case with 15 min mean residence time, 0.5 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
FTBExperimental--dw__a2mm_t15min_pC1.0_T22__experiment.csv May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Tabular Data - 315 B - 3 Variables, 20 Observations - UNF:6:nT/WQzcmA9dbSf92+sMgag== DataTime Series Experimental time-series data for the a2mm aperture case with 15 min mean residence time, 1.0 bar CO₂ partial pressure, and 22 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
FTBExperimental--dw__a2mm_t4min_pC1.0_T20__experiment.csv May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog Tabular Data - 592 B - 3 Variables, 38 Observations - UNF:6:VYDqNQWITLFek29MC4qXZA== DataTime Series Experimental time-series data for the a2mm aperture case with 4 min mean residence time, 1.0 bar CO₂ partial pressure, and 20 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.

Da_carb_Experimental_Values.pdf

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Adobe PDF - 16.2 KB -

PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 experimental cases, derived from time-series calcium concentration and pH data. Shown in figure 7 (a) in associated publication.

Da_carb_Grid_Convergent_Simulation_Values.pdf

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Adobe PDF - 16.2 KB -

PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the grid-convergent resolution, derived from integral quantities. Shown in figure 7 (b) in associated publication.

Da_carb_Initial_Grid_Simulation_Values.pdf

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Adobe PDF - 16.2 KB -

PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the initial grid resolution, derived from integral quantities. Not shown in associated publication.

data_handling.py

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Python Source Code - 18.5 KB -

Code

Supporting Python module providing data loading, parsing, and preprocessing utilities used by the core analysis and plotting routines.

df_2mm_one_row_per_case.csv

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Tabular Data - 226 B - 7 Variables, 3 Observations -

Theoretical mass transfer parameters for a 2 mm aperture fracture analog, computed by calculate_Sherwood_theory_numbers.py. This dataset contains Sherwood numbers (Sh), mass transfer coefficients (km), efficiency factors (η), and hydrodynamic entry lengths. Corresponds to the data presented in Table 4 of the associated publication.

df_6mm_one_row_per_case.csv

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Tabular Data - 454 B - 7 Variables, 6 Observations -

Theoretical mass transfer parameters for a 6 mm aperture fracture analog, computed by calculate_Sherwood_theory_numbers.py. This dataset contains Sherwood numbers (Sh), mass transfer coefficients (km), efficiency factors (η), and hydrodynamic entry lengths. Corresponds to the data presented in Table 3 of the associated publication.

Experimental_Values.pdf

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Adobe PDF - 21.9 KB -

PDF figure generated by `plot.py time` showing the time-series evolution of calcium concentration and pH for all 12 experimental cases. Shown in figure 4 (a) in associated publication

FTBExperimental--dw__a2mm_t15min_pC0.5_T21__experiment.csv

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Tabular Data - 430 B - 3 Variables, 27 Observations -

DataTime Series

Experimental time-series data for the a2mm aperture case with 15 min mean residence time, 0.5 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.

FTBExperimental--dw__a2mm_t15min_pC1.0_T22__experiment.csv

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Tabular Data - 315 B - 3 Variables, 20 Observations -

DataTime Series

Experimental time-series data for the a2mm aperture case with 15 min mean residence time, 1.0 bar CO₂ partial pressure, and 22 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.

FTBExperimental--dw__a2mm_t4min_pC1.0_T20__experiment.csv

May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog

Tabular Data - 592 B - 3 Variables, 38 Observations -

DataTime Series

Experimental time-series data for the a2mm aperture case with 4 min mean residence time, 1.0 bar CO₂ partial pressure, and 20 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.

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